A Neural Network Method for Approximating Preisach's Model of Magnetic Hysteresis Using Particle Swarm Optimization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2024 International Conference on Control, Automation and Diagnosis, ICCAD 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350361025
DOIs
StatePublished - 2024
Externally publishedYes
Event2024 International Conference on Control, Automation and Diagnosis, ICCAD 2024 - Paris, France
Duration: May 15 2024May 17 2024

Publication series

Name2024 International Conference on Control, Automation and Diagnosis, ICCAD 2024

Conference

Conference2024 International Conference on Control, Automation and Diagnosis, ICCAD 2024
Country/TerritoryFrance
CityParis
Period5/15/245/17/24

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Modeling and Simulation

Keywords

  • Adam optimization algorithm
  • hyperbolic tangent function
  • neural network
  • particle swarm optimization
  • Preisach model of hysteresis

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